Havo sifati indeksini bashoratlashning regression modeli

Mamatov N.S, Asqarov A.A

Management and Economics Scientific Research Journal · 2025-yil

Annotatsiya

This paper examines the use of linear regression models to predict the air qualityindex (HSI), first analyzing historical air quality index data and taking into account their timetrends.

Maqola ma’lumotlari
MualliflarMamatov N.S, Asqarov A.A
JurnalManagement and Economics Scientific Research Journal
NashriyotТошкент менежмент ва иқтисодиёт институти
Nashr sanasi2025-04-18
Jild2
Son2
Betlar69-74
TilO‘zbek
Indeksga qo‘shilgan2026-09-10

Kalit so‘zlar

Havo sifati indeksi (HIS), RMSE, OLS, chiziqli regressiya, mashinali o‘qitish, o‘rtacha kvadratik xatolik.

Iqtibos keltirish

APAMamatov N.S, & Asqarov A.A (2025). HAVO SIFATI INDEKSINI BASHORATLASHNING REGRESSION MODELI. Management and Economics Scientific Research Journal, 2(2), 69-74. https://journals.timeedu.uz/index.php/mesr/article/view/357
GOST (OAK)Mamatov N.S, Asqarov A.A HAVO SIFATI INDEKSINI BASHORATLASHNING REGRESSION MODELI // Management and Economics Scientific Research Journal. – 2025. – T. 2, № 2. – B. 69-74.
MLAMamatov N.S, and Asqarov A.A. “HAVO SIFATI INDEKSINI BASHORATLASHNING REGRESSION MODELI.” Management and Economics Scientific Research Journal, 2(2), 69-74, 2025. https://journals.timeedu.uz/index.php/mesr/article/view/357
ChicagoMamatov N.S, and Asqarov A.A. “HAVO SIFATI INDEKSINI BASHORATLASHNING REGRESSION MODELI.” Management and Economics Scientific Research Journal, 2(2), 69-74 (2025). https://journals.timeedu.uz/index.php/mesr/article/view/357
HarvardMamatov N.S, and Asqarov A.A (2025) ‘HAVO SIFATI INDEKSINI BASHORATLASHNING REGRESSION MODELI’, Management and Economics Scientific Research Journal, 2(2), 69-74. https://journals.timeedu.uz/index.php/mesr/article/view/357
BibTeX
@article{mamatovns2025,
  title = {HAVO SIFATI INDEKSINI BASHORATLASHNING REGRESSION MODELI},
  author = {Mamatov N.S and Asqarov A.A},
  journal = {Management and Economics Scientific Research Journal},
  year = {2025},
  volume = {2},
  number = {2},
  pages = {69-74},
  url = {https://journals.timeedu.uz/index.php/mesr/article/view/357}
}

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